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SBC: Electronics of the future, Inc.. Topic: AF19BT001
The goal this work is to use AI to interpret the THz and sub-THz responses at the pins to the defects and deviations from design of the integrated circuits under test. The key application is work is identifying hardware security treats using artificial intelligence (AI) for cyber security applications. Our approach will provide a rapid, inexpensive, and non-destructive technology address this prob ...STTR Phase II 2020 Department of DefenseAir Force
SBC: Dzyne Technologies Incorporated Topic: DTRA18B001
Hazard assessment tools that model the transport and dispersion of Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE) materials through urban areas are only as good as the 3D models that inform the physics model. Maintaining accurate, up-to-date 3D models of urban areas is challenging. Even in the commercial world, urban construction and demolition may result in the models created a ...STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency
SBC: Potomac Research LLC Topic: A18BT001
Physically uncloneable functions (PUFs) have the potential to revolutionize cybersecurity by forming the basis for next-generation secure networks and trusted computing environments. During Phase I, Potomac Research and OSU evaluated of three physically uncloneable function (PUF) designs that can be implemented on COTS FPGAs. One design based on hybrid Boolean networks (HBN-PUFs) emerged as the cl ...STTR Phase II 2020 Department of DefenseArmy
Advanced Measurement Capability of Turbine Engine Exhaust and Jet Flows through Non-intrusive MethodsSBC: NON-CONTACT TECHNOLOGIES LLC Topic: AF19CT010
Advanced Air Force turbine engines with integrated engine exhaust systems require diagnostic flow measurements. Integration of these systems into altitude test cells creates problems with T&E requirements such as impingement problems, exhaust cooling spray blowback, acoustic emission issues and limited space for measurement systems. Propulsion system analysts need better understanding of low aspec ...STTR Phase II 2020 Department of DefenseAir Force
SBC: TRUENANO INC Topic: N18AT004
TrueNano, Inc. will in collaboration with the University of Colorado and industry partners, produce a novel single wafer, high throughput, cold wall Hot Filament CVD (HF-CVD) reactor prototype for the growth of high-quality silicon carbide (SiC) epitaxial layers, suitable for the next generation of power electronic devices and systems. This includes the design and simulation of the reactor chamber ...STTR Phase II 2020 Department of DefenseAir Force
SBC: ELEMENTUM 3D, INC. Topic: A18BT003
There is a military and industry need for easy-to-use, versatile alloys for metals additive manufacturing (3D printing) that print consistently regardless of the specific process or machine and without requiring in-depth metallurgical or manufacturing knowledge. Such capability is critical for soldiers to be able to make needed items on demand in the theater of war. In addition, the alloy will be ...STTR Phase II 2020 Department of DefenseArmy
SBC: MILLENNITEK LLC Topic: A14AT011
Solid oxide fuel cells have long suffered from degradation due to impurities in the fuel and complexities associated with dissimilar materials and high operating temperatures. This degradation lowers the usable cell power output and requires ancillary equipment for fuel sulfur removal and reformation. A unique microstructure for a tubular anode-supported SOFC is being developed using a novel freez ...STTR Phase II 2020 Department of DefenseArmy
Detection Rate Improvements Through Understanding and Modeling Ocean Variability--- Phase II-- MP-18-103SBC: METRON INCORPORATED Topic: N18AT002
Transmission loss (TL) is a key input to the sonar equation for predicting the ability of an active sonar system to detect and track a target of interest. The proposed technical effort centers on developing physics-based models to interpret and predict TL variability. The concept under development consists of a model that consumes modeled and in situ oceanographic information, estimates the likeli ...STTR Phase II 2020 Department of DefenseNavy
SBC: METRON INCORPORATED Topic: N19AT017
Increased availability of graph-structured military data and recent technical advances in neural network design and training methods has led to an opportunity to advance the state of the art while simultaneously establishing and improving the ability:(1) to monitor a platform or force, (2) to predict capabilities and limitations of the force, and (3) to suggest opportunities and vulnerabilities. ...STTR Phase II 2020 Department of DefenseNavy
SBC: APPLIED OCEAN SCIENCES, LLC Topic: N19AT022
This project delivers a compact system to assess and reduce local uncertainties that impact routing and sensor operation decisions while tracking the evolution of the maritime environment around unmanned platforms at sea (UUV/USV). The system runs both at control centers and on-board the UUV/USV’s, subject to different network bandwidth and computing environments Size, Weight and Power (SWaP) co ...STTR Phase II 2020 Department of DefenseNavy